Construction of Word Dictionary for Bangla Vowel Ended Roots and Its Verbal Inflexions in UNL Based Machine Translation Scheme

Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 1

Abstract

This paper focuses on the development of word dictionary of Bangla vowel ended roots and their verbal inflexions for an interlingua representation called Universal Networking Language (UNL) processors. A considerable amount of work has been done on the development of Bangla morphological analysis on verbs, nouns, prefixes and suffixes for machine translation. As far as the researchers are aware, no attempts, however, have been made to integrate the previous developments on Bangla vowel ended roots and their inflexions to a concrete computational output. This paper attempts to bridge the gap on Bangla vowel ended roots and inflexions in the framework of UNL system aiming to produce a Bangla word dictionary for UNL. The paper analyzes the Bangla vowel ended roots and verbal inflexions and develops their formats in the UNL structure. Dictionary entries of all vowel ended roots and their inflexions are developed in order to generate associated verbs for sentences. Following semantic rules these verbs can be used to convert Bangla native language sentences into UNL expressions, which are then converted into required native languages using the language specific generation rules. Conversion of a Bangla language sentence into UNL expression has also been shown in this paper.

Authors and Affiliations

Md. Nawab Yousuf Ali, Md. Shamsujjoha, Golam Sorwar, Shamim H Ripon

Keywords

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  • EP ID EP277045
  • DOI 10.14738/tmlai.51.2479
  • Views 65
  • Downloads 0

How To Cite

Md. Nawab Yousuf Ali, Md. Shamsujjoha, Golam Sorwar, Shamim H Ripon (2017). Construction of Word Dictionary for Bangla Vowel Ended Roots and Its Verbal Inflexions in UNL Based Machine Translation Scheme. Transactions on Machine Learning and Artificial Intelligence, 5(1), 1-25. https://europub.co.uk./articles/-A-277045